Recently I open sourced a complete serverless web application which can be deployed on the IBM Cloud. This short article describes how static web resources like HTML and JavaScript files can be hosted in the cloud in a serverless fashion. (more…)

With serverless platforms like IBM Cloud Functions different types of scenarios can be built. Very common scenarios are APIs and web applications. I've open sourced some code that shows how to build and deploy a completely serverless web application on the IBM Cloud in less than 10 minutes. (more…)

This week I had the pleasure to attend W-JAX in Munich which is a conference for Java and enterprise developers with 1400 attendees. I've been to JAX and W-JAX several times and really like this conference. Great speakers, great content, great discussions. Below are some pictures. (more…)

The tutorial Serverless Web Application and API describes how to develop serverless APIs and web applications via IBM Functions, the IBM Functions API Gateway and a No-SQL database. The static web resources are hosted via GitHub Pages. I've open sourced an extension to the tutorial that allows hosting web resources directly via Apache OpenWhisk. (more…)

This week my colleagues Stephan Reimann and Thomas Südbroecker and I attended data2day in Heidelberg. data2day is a technical conference for data scientists and developers focussed on topics related to big data, artificial intelligence and machine learning. Below are some pictures, most of them taken by Thomas. (more…)

In order to train the object detection model for my sample TensorFlow Object Detection for Anki Overdrive Cars, I used a custom Docker container. I've extended the description of my repo to also document how Fabric for Deep Learning (FfDL) can be used to run this container. (more…)

I finally found some time to start playing with Knative. It took me a few hours to get a simple sample running. Below I describe some pitfalls when installing Knative and tips how to avoid them. With the official instructions and these tips it shouldn't take longer than half an hour to run your first container on Knative. (more…)

TensorFlow Object Detection is a powerful technology to recognize different objects in images including their positions. The trained Object Detection models can be run on mobile and edge devices to execute predictions really fast. I've used this technology to build a demo where Anki Overdrive cars and obstacles are detected via an iOS app. When obstacles are detected, the cars are stopped automatically. (more…)

For software development there are many methodologies, patterns and techniques to build, deploy and run applications. DevOps is the state of the art methodology which describes a software engineering culture with a holistic view of software development and operation. For data science there is a lot of information how machine and deep learning models can be built. The operational aspects seem to still be evolving. I'm currently trying to understand better how to deploy models in the cloud and ...

Early this year IBM announced Deep Learning as a Service within Watson Studio. The core of this service is available as open source and can be run on Kubernetes clusters. This allows developers and data scientists to train models with confidential data on-premises, for example on the Kubernetes-based IBM Cloud Private. (more…)